Introduction Drawing on digital empathy theory, this study explores how empathic expressions evolve and manifest as action-oriented behaviors in online public discourse during a public health crisis. Specifically, it focuses on a doctor’s suicide incident discussed on the Weibo platform, examining how various empathy types influence public opinion and engagement. By investigating the emotional and behavioral responses within the digital realm, the study contributes to understanding the complex dynamics of empathy and its impact on collective emotion and decision-making during health-related crises. Methods Data were collected from Weibo posts related to the doctor’s suicide incident, and analyzed using Latent Dirichlet Allocation (LDA) topic modeling and sentiment analysis. Results The study revealed four primary areas of focus in the posts: medical decision-making disputes, cyberbullying and platform responsibility, media reproduction, and official reports and judicial investigations. Ad
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